Minimum Description Length Principle for Maximum Entropy Model Selection
Gaurav PandeyAmbedkar DukkipatiPublished in: CoRR (2012)
Keyphrases
- maximum entropy
- model selection
- minimum description length principle
- cross validation
- maximum entropy principle
- parameter estimation
- hyperparameters
- regression model
- mixture model
- model selection criteria
- sample size
- machine learning
- generalization error
- variable selection
- selection criterion
- information criterion
- marginal likelihood
- conditional random fields
- gaussian process
- unsupervised learning
- likelihood function
- bayesian information criterion
- bayesian methods